Title

Authors

A Neural Programming Language for the Reservoir Computer

Jason Z. Kim, Dani S. Bassett

Can You Learn an Algorithm? Generalizing from Easy to Hard Problems with Recurrent Networks

Avi Schwarzschild et al.

Don't Decay the Learning Rate, Increase the Batch Size

Samuel L. Smith, Pieter-Jan Kindermans, Chris Ying, Quoc V. Le

Multimodal datasets: misogyny, pornography, and malignant stereotypes

Abeba Birhane, Vinay Uday Prabhu, Emmanuel Kahembwe

On the Dangers of Stochastic Parrots: Can Language Models Be Too Big?

Emily M. Bender,Timnit Gebru, Angelina McMillan-Major, Shmargaret Shmitchell

Neural circuit policies enabling auditable autonomy

Mathias Lechner, Ramin Hasani, Alexander Amini, Thomas A. Henzinger, Daniela Rus and Radu Grosu

The Expressive Power of Neural Networks: A View from the Width

Zhou Lu, Hongming Pu, Feicheng Wang, Zhiqiang Hu, Liwei Wang

Discovering faster matrix multiplication algorithms with reinforcement learning

Fawzi et al.

Does Your Dermatology Classifier Know What It Doesn't Know? Detecting the Long-Tail of Unseen Conditions

Roy et al.

Bad Global Minima Exist and SGD Can Reach Them

Shengchao Liu, Dimitris Papailiopoulos, Dimitris Achlioptas

Machine Learning Hidden Symmetries

Ziming Liu and Max Tegmark